Projects in Awesome Lists tagged with mcmc-methods

https://github.com/sandialabs/uqtk

Sandia Uncertainty Quantification Toolkit

bayesian-inference mcmc mcmc-methods mcmc-sampler scr-1380 snl-data-analysis snl-science-libs surrogate-models uncertainty uncertainty-estimation uncertainty-propagation uncertainty-quantification uq

Last synced: 27 Jan 2026

https://github.com/zang-langyan/markov-chain-monte-carlo-mcmc

Markov Chain Monte Carlo MCMC methods are implemented in various languages (including R, Python, Julia, Matlab)

julia markov-chain-monte-carlo matlab mcmc mcmc-methods mcmc-sampler python r

Last synced: 19 Apr 2025

https://github.com/mdnunez/pyhddmjags

Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for using JAGS with pyjags, the JAGS Wiener module, mixture modeling in JAGS, and Bayesian diagnostics in Python.

bayesian-inference decision-making hddm jags mcmc-methods

Last synced: 01 May 2025

https://github.com/chenhaotian/bayesian-bricks

Basic building blocks in Bayesian statistics.

bayesian-inference bayesian-network bayesian-statistics em-algorithm graphical-models hierarchical-mixture-models hierarchical-models hierarchical-topic-models mcmc-methods rpackage statistical-models

Last synced: 22 Oct 2025

https://github.com/cdslaborg/paramontex

This is a repository for the ParaMonte library examples. For more information, visit:

bayesian bayesian-inference bayesian-methods bayesian-optimization bayesian-statistics c cpp dram fortran fortran2018 machine-learning markov-chain matlab mcmc mcmc-methods mcmc-sampler parallel paramonte-library python visualization

Last synced: 15 Jul 2025

https://github.com/sandyherho/kalikupangdisch

This repository contains code, data, output, and figures associated with the A univariate extreme value analysis and change point detection of monthly discharge in Kali Kupang, Central Java, Indonesia manuscript

bayesian-statistics changepoint-detection extreme-value-statistics hydrology indonesia jawa-tengah mcmc-methods

Last synced: 16 Jan 2026

https://github.com/charlesknipp/sequential_monte_carlo

This module is an efficient and flexible implementation of various Sequential Monte Carlo (SMC) methods. Bayesian updates occur for both latent states and model parameters using joint inference.

julia mcmc-methods sequential-monte-carlo

Last synced: 20 May 2026